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To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("messina")
In most cases, you don't need to download the package archive at all.
messina
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Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems.
Bioconductor version: Release (3.1)
Messina is a collection of algorithms for constructing optimally robust single-gene classifiers, and for identifying differential expression in the presence of outliers or unknown sample subgroups. The methods have application in identifying lead features to develop into clinical tests (both diagnostic and prognostic), and in identifying differential expression when a fraction of samples show unusual patterns of expression.
Author: Mark Pinese [aut], Mark Pinese [cre], Mark Pinese [cph]
Maintainer: Mark Pinese <m.pinese at garvan.org.au>
Citation (from within R,
enter citation("messina")):
Installation
To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("messina")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("messina")
| R Script | Using Messina | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | BiomedicalInformatics, Classification, DifferentialExpression, GeneExpression, Software, Survival |
| Version | 1.4.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (1.5 years) |
| License | EPL (>= 1.0) |
| Depends | R (>= 3.1.0), survival (>= 2.37-4), methods |
| Imports | Rcpp (>= 0.11.1), plyr (>= 1.8), ggplot2 (>= 0.9.3.1), grid (>= 3.1.0), foreach (>= 1.4.1), graphics |
| LinkingTo | Rcpp |
| Suggests | knitr (>= 1.5), antiProfilesData(>= 0.99.2), Biobase(>= 2.22.0), BiocStyle |
| SystemRequirements | |
| Enhances | doMC (>= 1.3.3) |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | messina_1.4.0.tar.gz |
| Windows Binary | messina_1.4.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | messina_1.4.0.tgz |
| Mac OS X 10.9 (Mavericks) | messina_1.4.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/messina/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/messina/ |
| Package Downloads Report | Download Stats |
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